A guide to navigating administrative data linkage for research

Author:

Singh Gursharan K12ORCID,Bowers Alison P12

Affiliation:

1. Centre for Healthcare Transformation, Faculty of Health, Queensland University of Technology (QUT) , 60 Musk Avenue , Brisbane, QLD 4059, Australia

2. Cancer and Palliative Care Outcomes Centre, School of Nursing, Queensland University of Technology (QUT) , 60 Musk Avenue , Brisbane, QLD 4059, Australia

Abstract

Abstract Data linkage brings together information from various sources, including routinely collected administrative data or data from different research studies, to create a new, richer dataset. It provides insights into complex relationships between health and outcomes and evidence pathways to good health. However, when considering data linkage, there are several processes and practicality aspects that need to be explored. Some of these include understanding the costs, complexity of linkage, data storage requirements, required applications, and time lags. Taking these practicalities into consideration will lead to a more efficient process for data linkage.

Publisher

Oxford University Press (OUP)

Subject

Advanced and Specialized Nursing,Medical–Surgical Nursing,Cardiology and Cardiovascular Medicine

Reference17 articles.

1. Overview of Data Linkage Methods for Policy Design and Evaluation

2. Demystifying probabilistic linkage: common myths and misconceptions;Doidge;Int J Popul Data Sci,2018

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